Suppr超能文献

DEIVA:用于差异基因表达谱交互式可视化分析的网络应用程序。

DEIVA: a web application for interactive visual analysis of differential gene expression profiles.

作者信息

Harshbarger Jayson, Kratz Anton, Carninci Piero

机构信息

RIKEN Center for Life Science Technologies, RIKEN Yokohama Institute, 1-7-22 Suehiro-cho, Tsurumi-ku, Yokohama, Kanagawa, 230-0045, Japan.

出版信息

BMC Genomics. 2017 Jan 7;18(1):47. doi: 10.1186/s12864-016-3396-5.

Abstract

BACKGROUND

Differential gene expression (DGE) analysis is a technique to identify statistically significant differences in RNA abundance for genes or arbitrary features between different biological states. The result of a DGE test is typically further analyzed using statistical software, spreadsheets or custom ad hoc algorithms. We identified a need for a web-based system to share DGE statistical test results, and locate and identify genes in DGE statistical test results with a very low barrier of entry.

RESULTS

We have developed DEIVA, a free and open source, browser-based single page application (SPA) with a strong emphasis on being user friendly that enables locating and identifying single or multiple genes in an immediate, interactive, and intuitive manner. By design, DEIVA scales with very large numbers of users and datasets.

CONCLUSIONS

Compared to existing software, DEIVA offers a unique combination of design decisions that enable inspection and analysis of DGE statistical test results with an emphasis on ease of use.

摘要

背景

差异基因表达(DGE)分析是一种用于识别不同生物学状态下基因或任意特征的RNA丰度中具有统计学显著差异的技术。DGE测试的结果通常使用统计软件、电子表格或自定义的临时算法进行进一步分析。我们发现需要一个基于网络的系统来共享DGE统计测试结果,并以非常低的入门门槛在DGE统计测试结果中定位和识别基因。

结果

我们开发了DEIVA,这是一个免费的开源基于浏览器的单页应用程序(SPA),非常注重用户友好性,能够以即时、交互式和直观的方式定位和识别单个或多个基因。从设计上看,DEIVA能够适应大量用户和数据集。

结论

与现有软件相比,DEIVA提供了独特的设计决策组合,能够以强调易用性的方式检查和分析DGE统计测试结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/bdc4/5219783/34f00b4fd099/12864_2016_3396_Fig1_HTML.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验